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US Patent 10531004 Lidar to camera calibration for generating high definition maps

Patent 10531004 was granted and assigned to DeepMap on January, 2020 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
DeepMap
DeepMap
1
Current Assignee
DeepMap
DeepMap
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
105310041
Patent Inventor Names
Mark Damon Wheeler1
Lin Yang1
Date of Patent
January 7, 2020
1
Patent Application Number
161659111
Date Filed
October 19, 2018
1
Patent Citations Received
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US Patent 11933967 Distally actuated scanning mirror
2
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US Patent 11435751 Vehicle-based road obstacle identification system
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US Patent 11443529 Method and apparatus for detecting surroundings, and vehicle with such an apparatus
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US Patent 11842528 Occupancy map updates based on sensor data collected by autonomous vehicles
6
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US Patent 11860639 Vehicle-based road obstacle identification system
7
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US Patent 11494941 Calibration system for calibrating visual coordinate system and depth coordinate system, calibration method and calibration device
8
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US Patent 10942519 System and method for navigating an autonomous driving vehicle
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US Patent 10990105 Vehicle-based virtual stop and yield line detection
1
...
Patent Primary Examiner
‌
Anand S. Rao
1
Patent abstract

A system performs calibration of sensors mounted on a vehicle, for example, lidar and camera sensors mounted on a vehicle, for example, an autonomous vehicle. The system receives a lidar scan and camera image of a view and determines a lidar-to-camera transform based on the lidar scan and the camera image. The system may use a pattern, for example, a checkerboard pattern in the view for calibration. The pattern is placed close to the vehicle to determine an approximate lidar-to-camera transform and then placed at a distance from the vehicle to determine an accurate lidar-to-camera transform. Alternatively, the system determines edges in the lidar scan and the camera image and aligns features based on real-world objects in the scene by comparing edges.

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